Medical QoS provision based on reinforcement learning in ultrasound streaming over 3.5G wireless systems

Authors:
Robert S. H. Istepanian;Nada Y. Philip;Maria G. Martini
Affiliations:
MINT Research Centre, Kingston University, London;MINT Research Centre, Kingston University, London;MINT Research Centre, Kingston University, London
Venue:
IEEE Journal on Selected Areas in Communications - Special issue on wireless and pervasive communications for healthcare
Year:
2009

Citing 23
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Abstract

The design of an efficient mobile healthcare system using 3.5G and 4G wireless networks is a challenging problem especially for bandwidth demanding telemedical applications. In this paper, we focus on the concept of medical Quality of Service (m-QoS) applied to a typical bandwidth demanding m-health application. Based on this concept, we propose a novel multiobjective rate-control mechanism for the optimized delivery of diagnostically acceptable ultrasound video images over 3.5G wireless networks. The performance of the proposed algorithm has been evaluated via both simulations and experimental studies. The proposed optimal rate control algorithm achieved performance improvements that are compatible with the medical QoS requirements.